Jobs at Veltris

Develops, troubleshoots, and sustains SD-WAN software for production appliances. Responsibilities include resolving complex defects, performing root-cause analysis, delivering release fixes, debugging networking and system issues, improving reliability and diagnostics, creating regression tests, reviewing code, supporting maintenance releases, and documenting technical resolutions.

Develop high-performance networking software for SD-WAN and SASE platforms. Responsibilities include DPDK packet processing, NIC driver and data-plane development, link and flow management, observability tools, live troubleshooting, and performance optimization. The role requires C/C++, Python, Linux systems expertise, operating-system knowledge, and experience with scalable, real-time, multi-threaded applications. The engineer will collaborate with architects, QA, and product teams throughout the software development lifecycle.

Develop multi-agent automation platforms, enterprise LLM integrations, RAG pipelines, knowledge bases, and domain-specific fine-tuning solutions. Build computer vision systems for manufacturing quality control, process monitoring, and assembly-line digitalization. Optimize internal finance, HR, compliance, and operations workflows. Establish enterprise AI governance frameworks, including model evaluation and prompt management.

Develops and implements secure quantum key distribution solutions. Responsibilities include designing QKD systems, integrating quantum-safe encryption with communication networks, testing system performance, and collaborating with research and cybersecurity teams.

Build and maintain complex backend APIs and system integrations using Python and TypeScript. The role requires 10+ years of backend engineering experience and collaboration with a U.S.-based team for at least 2–4 overlapping hours. Dental practice management system or healthcare integration experience is strongly preferred. Experience with GraphQL, Hasura, PostgreSQL, GCP, or AWS is valuable.

Design, build, and operate enterprise-grade platform services across hybrid and on-prem environments. Implement IaC with Terraform, GitOps deployments (ArgoCD, GitHub Actions), manage production Kubernetes clusters, large-scale data platforms (Hadoop/EMR), distributed storage (MinIO/S3), caching (Redis/Memcached), and observability (OpenTelemetry, Prometheus, Grafana, Loki). Automate CI/CD, troubleshoot production issues, ensure scalability and reliability, and collaborate with cross-functional teams.

Lead architecture and delivery of scalable AI/ML and computer vision platforms for Manufacturing and Automotive customers. Own end-to-end solution design across cloud, edge, and embedded systems, mentor senior teams, drive ADAS and industrial AI initiatives, support pre-sales, and ensure technical governance and delivery excellence.

Design, develop, and maintain large-scale SaaS and on-prem security management and visibility solutions. Collaborate with cross-functional teams to convert business goals into features, and deploy/debug cloud-native services while ensuring reliability and scalability.

Design and implement scalable AI/ML and data-driven cloud or Kubernetes solutions. Build data and model pipelines, integrate enterprise CRMs, operationalize models with dev teams, manage stakeholders, and support CRM-driven and agentic AI use cases across concurrent projects.